Robert Anderson
Hi! I'm a PhD candidate at Auckland University, and currently work as an analyst for a consultancy
that unlocks the value in data for partner organistions.
Research Interest
My current research focus is on learning in stream environments with concept drift, especially recurrent concept drift.
Project
My PhD focuses on approaches that I propose to discover and handle recurrent drifts in data streams. My most recent work is a proposed meta-learner for classifying in streams with recurrent drift. The datasets used for this submitted paper can be found here.
Publication
Anderson, Robert, and Yun Sing Koh. StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams. International Conference on Big Data Analytics and Knowledge Discovery. , Springer International Publishing, 2015.
